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1

Chang, Hyeong Soo, Jiaqiao Hu, Michael C. Fu, and Steven I. Marcus. Simulation-based Algorithms for Markov Decision Processes. Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-690-2.

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2

Chang, Hyeong Soo, Jiaqiao Hu, Michael C. Fu, and Steven I. Marcus. Simulation-Based Algorithms for Markov Decision Processes. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5022-0.

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3

Chang, Hyeong Soo. Simulation-Based Algorithms for Markov Decision Processes. 2nd ed. Springer London, 2013.

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4

Soo, Chang Hyeong, ed. Simulation-based algorithms for Markov decision processes. Springer, 2007.

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5

Yuktadatta, Panurit. Simulation of a parallel processor based small tactical system. Naval Postgraduate School, 1991.

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6

Birmingham), Autotech 1991 (1991. Simultaneous engineering, simulation and data base models. Institution of Mechanical Engineers, 1991.

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7

Birmingham), Autotech 1991 (1991. Simultaneous engineering, simulation and data base models. Institution of MechanicalEngineers, 1991.

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8

Boudis, Mahfoud. Simulation et systèmes à base de connaissances. A.N.R.T, Université Pierre Mendes France (Grenoble II), 1997.

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9

United States. General Accounting Office. National Security and International Affairs Division. Base closures. The Office, 1992.

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10

Shedler, G. S. Regenerative stochastic simulation. Academic Press, 1993.

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11

P, Chong Ken, ed. Modeling and simulation-based life cycle engineering. Spon Press, 2002.

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12

K, Iyer R., and United States. National Aeronautics and Space Administration, eds. Error propagation in a digital avionic processor: A simulation-based study. Computer Systems Group, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1986.

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13

Bannouri, Rabii. Création d'une base de données bibliographiques et processus de négociation de référence. Centre de recherches en documentation, bibliothéconomie et archivistique, 1985.

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14

Whitney, Charles Allen. Random processes in physical systems: An introduction to probability-based computer simulations. Wiley, 1990.

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15

F, Borchers Paul, Franklin James A, and Ames Research Center, eds. Moving base simulation of an ASTOVL Lift-fan aircraft. National Aeronautics and Space Administration, Ames Research Center, 1995.

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16

F, Borchers Paul, Franklin James A, and Ames Research Center, eds. Moving base simulation of an ASTOVL Lift-fan aircraft. National Aeronautics and Space Administration, Ames Research Center, 1995.

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17

United States. General Accounting Office. National Security and International Affairs Division, ed. Base closures. The Office, 1992.

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18

Taskinen, Leo Tapani. Measuring change management in manufacturing processes: A measurement method for simulation-game-based process development. Technical Research Centre of Finland, 2002.

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19

Reid, L. D. Flight simulation motion-base drive algorithms. Part 3. Pilot evaluations. Institute for Aerospace Studies, 1986.

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20

Ferrand, Ludovic. Cognition et lecture: Processus de base de la reconnaissance des mots crits chez l'adulte. De Boeck Universit, 2001.

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21

Chuvikov, Dmitriy. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence. 2nd ed. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1220729.

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The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee.
 The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledg
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22

Treuil, Jean-Pierre. Modélisation et simulation à base d'agents: Exemples commentés, outils informatiques et questions théoriques. Dunod, 2008.

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23

Cunningham, William L. Evaluation of ground-water flow by particle tracking, Wright-Patterson Air Force Base, Ohio. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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24

L, Cunningham William. Evaluation of ground-water flow by particle tracking, Wright-Patterson Air Force Base, Ohio. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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25

L, Cunningham William. Evaluation of ground-water flow by particle tracking, Wright-Patterson Air Force Base, Ohio. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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26

Cunningham, William L. Evaluation of ground-water flow by particle tracking, Wright-Patterson Air Force Base, Ohio. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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27

Center, Ames Research, ed. Moving-base simulation evaluation of control/display integration issues for ASTOVL aircraft. National Aeronautics and Space Administration, Ames Research Center, 1997.

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28

University of Texas at Austin. Large Scale Programs Institute., University of Texas at Austin. Center for Space Research., and Lyndon B. Johnson Space Center., eds. A demonstrative model of a lunar base simulation on a personal computer. National Aeronautics and Space Administration, Johnson Space Center?, 1987.

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29

Kotut, R. K. The study and simulation of a DCS1800 mobile communications base station receiver. UMIST, 1997.

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30

Reid, L. D. Flight simulation motion-base drive algorithms: Part 2 - Selecting the system parameters. Institute for Aerospace Studies, 1986.

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31

Franklin, James A. Moving-base simulation evaluation of control/display integration issues for ASTOVL aircraft. National Aeronautics and Space Administration, Ames Research Center, 1997.

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32

Franklin, James A. Moving-base simulation evaluation of control/display integration issues for ASTOVL aircraft. National Aeronautics and Space Administration, Ames Research Center, 1997.

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33

Franklin, James A. Moving-base simulation evaluation of control/display integration issues for ASTOVL aircraft. National Aeronautics and Space Administration, Ames Research Center, 1997.

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34

Nasse-Kolmayer, Elisabeth. Contribution à l'analyse des processus cognitifs mis en jeu dans l'interrogation d'une base de données documentaries. A.N.R.T. Université de Lille III, 1997.

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35

1934-, Morokuma K., and Musaev Djamaladdin G, eds. Computational modeling for homogeneous and enzymatic catalysis: A knowledge-base for designing efficient catalysts. Wiley-VCH, 2008.

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36

Plenge, Waagepetersen Rasmus, ed. Statistical inference and simulation for spatial point processes. Chapman & Hall/CRC, 2004.

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37

Randy, Gimblett H., ed. Integrating geographic information systems and agent-based modeling techniques for simulating social and ecological processes. Oxford University Press, 2002.

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38

Haugh, Connor J. Hydrogeology and simulation of ground-water flow at Arnold Air Force Base, Coffee and Franklin counties, Tennessee. U.S. G.P.O.], 1994.

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39

Hinaman, Kurt C. Hydrogeology and simulation of ground-water flow at Dover Air Force Base, Delaware. U.S. Department of the Interior, U.S. Geological Survey, 2000.

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40

Cox, William M. Evaluation of rural air quality simulation models: Addendum A, Muskingum River data base. U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, 1985.

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41

Reid, L. D. Flight simulation motion-base drive algorithms: Part 1 - Developing and testing the equations. Institute for Aerospace Studies, 1985.

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42

Hinaman, Kurt C. Hydrogeology and simulation of ground-water flow at Dover Air Force Base, Delaware. U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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43

Arnaud, Chauvière, Preziosi Luigi, and Verdier Claude 1962-, eds. Cell mechanics: From single scale-based models to multiscale modeling. Chapman & Hall/CRC, 2009.

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44

Arnaud, Chauvière, Preziosi Luigi, and Verdier Claude, eds. Cell mechanics: From single scale-based models to multiscale modeling. Chapman & Hall/CRC, 2009.

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45

Luigi, Preziosi, and Verdier Claude, eds. Cell mechanics: From single scale-based models to multiscale modeling. Chapman & Hall/CRC, 2009.

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46

Institut canadien d'information sur la santé., ed. Processus d'assurance de la qualité relatifs à la Base de données sur les congés des patients et à la Base de données sur la morbidité hospitalière. Institut canadien d'information sur la santé, 2002.

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47

Hay, Lee Loo, ed. Stochastic simulation optimization: An optimal computing budget allocation. World Scientific, 2011.

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48

Cox, William M. Evaluation of rural air quality simulation models: Addendum C : Kincaid SOb2s data base. U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, 1986.

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49

Defence Modeling and Simulation Office Information/Data Base (I/DB) Task Group. Defense Modeling and Simulation Office Information/Data Base (I/DB) Task Group Meetings held February 14-18, 1994, and notes from the previous two I/DB meetings. Edited by Kameny Iris 1932-, United States. Dept. of Defense., and Rand Corporation. Rand, 1994.

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50

United States. Dept. of Energy. Office of Support Programs. Plans and Evaluation Division and United Engineers & Constructors, inc, eds. Phase IX update (1987) report for the Energy Economic Data Base Program, EEDB-IX. The Division, 1988.

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